IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p6083-d1221321.html
   My bibliography  Save this article

Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis

Author

Listed:
  • Farida Shaban

    (School of Science and Technology, International Hellenic University, 14th km Thessaloniki-N. Moudania, 570 01 Thermi, Greece)

  • Pelopidas Siskos

    (Deloitte, 3A Fragkokklisias & Granikou Str., 151 25 Marousi, Greece)

  • Christos Tjortjis

    (School of Science and Technology, International Hellenic University, 14th km Thessaloniki-N. Moudania, 570 01 Thermi, Greece)

Abstract

Electromobility represents a strong option for reducing carbon emissions in the road transport sector. This study presents a methodology and a simulation tool that project the evolution of the market share of electric vehicles (EVs) in the new car market. The analysis adopts a stylized regional resolution, which accounts for attributes on the NUTS-2 level, such as the population density, GDP/capita, education levels, and current EV charger distribution, to simulate the uptake of BEVs in different regions. The methodology applies discrete choice modelling techniques, considering tangible and intangible factors, including purchasing and operation costs, an estimated cost for range anxiety and public charging, and a market maturity index. The analysis is based on four different scenarios, referring to the updated Greek National Energy Climate Plan. The results reveal that regions with a higher average income, GDP/capita, and population density show a higher uptake of EVs. Overall, the tool implements a method of simulating the market evolution of EVs up to 2030 in reference to regional parameters and, hence, highlights the regions that require the most attention in order to achieve national targets. The results can inform policymakers in developing tailored strategies and financial support to accelerate the adoption of BEVs, particularly in regions where their uptake prospects are lower.

Suggested Citation

  • Farida Shaban & Pelopidas Siskos & Christos Tjortjis, 2023. "Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis," Energies, MDPI, vol. 16(16), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6083-:d:1221321
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/6083/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/16/6083/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    2. Gnann, Till & Plötz, Patrick & Kühn, André & Wietschel, Martin, 2015. "Modelling market diffusion of electric vehicles with real world driving data – German market and policy options," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 95-112.
    3. Hao, Xu & Lin, Zhenhong & Wang, Hewu & Ou, Shiqi & Ouyang, Minggao, 2020. "Range cost-effectiveness of plug-in electric vehicle for heterogeneous consumers: An expanded total ownership cost approach," Applied Energy, Elsevier, vol. 275(C).
    4. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    5. Stergios Statharas & Yannis Moysoglou & Pelopidas Siskos & Georgios Zazias & Pantelis Capros, 2019. "Factors Influencing Electric Vehicle Penetration in the EU by 2030: A Model-Based Policy Assessment," Energies, MDPI, vol. 12(14), pages 1-25, July.
    6. Eunil Park & Jooyoung Lim & Yongwoo Cho, 2018. "Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    7. Kenneth E. Train & Clifford Winston, 2007. "Vehicle Choice Behavior And The Declining Market Share Of U.S. Automakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1469-1496, November.
    8. Sushil Kumar Dixit & Ashirwad Kumar Singh, 2022. "Predicting Electric Vehicle (EV) Buyers in India: A Machine Learning Approach," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 221-238, October.
    9. Elham Allahmoradi & Saeed Mirzamohammadi & Ali Bonyadi Naeini & Ali Maleki & Saleh Mobayen & Paweł Skruch, 2022. "Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran," Energies, MDPI, vol. 15(12), pages 1-17, June.
    10. Charles F. Manski, 2001. "Daniel McFadden and the Econometric Analysis of Discrete Choice," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 217-230, June.
    11. Castillo, Enrique & Menéndez, José María & Jiménez, Pilar & Rivas, Ana, 2008. "Closed form expressions for choice probabilities in the Weibull case," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 373-380, May.
    12. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    13. Zhang, Lei & Hong, Jin Hyun & Nasri, Arefeh & Shen, Qing, 2012. "How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 40-52.
    14. Subhaditya Shom & Kevin James & Mahmoud Alahmad, 2022. "Understanding the Correlation of Demographic Features with BEV Uptake at the Local Level in the United States," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    15. Hanadi Al-Thani & Muammer Koç & Rima J. Isaifan & Yusuf Bicer, 2022. "A Review of the Integrated Renewable Energy Systems for Sustainable Urban Mobility," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    16. Ranjit R. Desai & Eric Hittinger & Eric Williams, 2022. "Interaction of Consumer Heterogeneity and Technological Progress in the US Electric Vehicle Market," Energies, MDPI, vol. 15(13), pages 1-25, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Wentao & Hao, Xiaoli, 2023. "Competition and welfare effects of introducing new products into the new energy vehicle market: Empirical evidence from Tesla’s entry into the Chinese market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    2. Stergios Statharas & Yannis Moysoglou & Pelopidas Siskos & Pantelis Capros, 2021. "Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece," Energies, MDPI, vol. 14(9), pages 1-24, April.
    3. Cohen, Jed & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2019. "Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles," Energy Economics, Elsevier, vol. 83(C), pages 567-577.
    4. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    5. Patrick Bigler & Doina Maria Radulescu, 2022. "Environmental, Redistributive and Revenue Effects of Policies Promoting Fuel Efficient and Electric Vehicles," CESifo Working Paper Series 9645, CESifo.
    6. Oryani, Bahareh & Koo, Yoonmo & Shafiee, Afsaneh & Rezania, Shahabaldin & Jung, Jiyeon & Choi, Hyunhong & Khan, Muhammad Kamran, 2022. "Heterogeneous preferences for EVs: Evidence from Iran," Renewable Energy, Elsevier, vol. 181(C), pages 675-691.
    7. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    8. Silvia Tomasi & Alyona Zubaryeva & Cesare Pizzirani & Margherita Dal Col & Jessica Balest, 2021. "Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    9. Weber, Sylvain, 2019. "Consumers' preferences on the Swiss car market: A revealed preference approach," Transport Policy, Elsevier, vol. 75(C), pages 109-118.
    10. Long, Zoe & Axsen, Jonn & Miller, Inger & Kormos, Christine, 2019. "What does Tesla mean to car buyers? Exploring the role of automotive brand in perceptions of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 185-204.
    11. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
    12. Sfeir, Georges & Abou-Zeid, Maya & Rodrigues, Filipe & Pereira, Francisco Camara & Kaysi, Isam, 2021. "Latent class choice model with a flexible class membership component: A mixture model approach," Journal of choice modelling, Elsevier, vol. 41(C).
    13. Daan Hulshof & Machiel Mulder, 2020. "Willingness to Pay for $$\hbox {CO}_2$$CO2 Emission Reductions in Passenger Car Transport," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 899-929, April.
    14. František Pollák & Josef Vodák & Jakub Soviar & Peter Markovič & Gianluca Lentini & Valerio Mazzeschi & Alessandro Luè, 2021. "Promotion of Electric Mobility in the European Union—Overview of Project PROMETEUS from the Perspective of Cohesion through Synergistic Cooperation on the Example of the Catching-Up Region," Sustainability, MDPI, vol. 13(3), pages 1-26, February.
    15. Arora, Nikita & dit Sourd, Romain Crastes & Quaife, Matthew & Vassall, Anna & Ferrari, Giulia & Alangea, Deda Ogum & Tawiah, Theresa & Dwommoh Prah, Rebecca Kyerewaa & Jewkes, Rachel & Hanson, Kara & , 2023. "The stated preferences of community-based volunteers for roles in the prevention of violence against women and girls in Ghana: A discrete choice analysis," Social Science & Medicine, Elsevier, vol. 324(C).
    16. Marko Emanović & Martina Jakara & Danijela Barić, 2022. "Challenges and Opportunities for Future BEVs Adoption in Croatia," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    17. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    18. Bogdan Ovidiu Varga & Arsen Sagoian & Florin Mariasiu, 2019. "Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges," Energies, MDPI, vol. 12(5), pages 1-19, March.
    19. Siskos, Pelopidas & Zazias, Georgios & Petropoulos, Apostolos & Evangelopoulou, Stavroula & Capros, Pantelis, 2018. "Implications of delaying transport decarbonisation in the EU: A systems analysis using the PRIMES model," Energy Policy, Elsevier, vol. 121(C), pages 48-60.
    20. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6083-:d:1221321. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.